MRI radiomics analysis of molecular alterations in low-grade gliomas.

Journal: International journal of computer assisted radiology and surgery
Published Date:

Abstract

PURPOSE: Low-grade gliomas (LGG) are classified into three distinct groups based on their IDH1 mutation and 1p/19q codeletion status, each of which is associated with a different clinical expression. The genomic sub-classification of LGG requires tumor sampling via neurosurgical procedures. The aim of this study was to evaluate the radiomics approach for noninvasive classification of patients with LGG and IDH mutation, based on their 1p/19q codeletion status, by testing different classifiers and assessing the contribution of the different MR contrasts.

Authors

  • Ben Shofty
    Division of Neurosurgery, Tel Aviv Sourasky Medical Center, 6 Weizman St., 64239, Tel Aviv, Israel.
  • Moran Artzi
    Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
  • Dafna Ben Bashat
    Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel. dafnab@tlvmc.gov.il.
  • Gilad Liberman
    Department of Chemical Physics, Weizmann Institute of Science, Rehovot, Israel.
  • Oz Haim
    Division of Neurosurgery, Tel Aviv Sourasky Medical Center, 6 Weizman St., 64239, Tel Aviv, Israel.
  • Alon Kashanian
    Division of Neurosurgery, Tel Aviv Sourasky Medical Center, 6 Weizman St., 64239, Tel Aviv, Israel.
  • Felix Bokstein
    Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
  • Deborah T Blumenthal
    Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
  • Zvi Ram
    Division of Neurosurgery, Tel Aviv Sourasky Medical Center, 6 Weizman St., 64239, Tel Aviv, Israel.
  • Tal Shahar
    Division of Neurosurgery, Tel Aviv Sourasky Medical Center, 6 Weizman St., 64239, Tel Aviv, Israel.